Jacob Engelbrecht
Jacob Engelbrecht
Senior Advisor, Danish Ministry of Taxation
Verified email at engelbrecht.dk
Cited by
Cited by
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
H Nielsen, J Engelbrecht, S Brunak, G von Heijne
Protein engineering 10 (1), 1-6, 1997
Prediction of human mRNA donor and acceptor sites from the DNA sequence
S ren Brunak, J Engelbrecht, S Knudseny
Journal of molecular biology 220, 49-65, 1991
Splice site prediction in Arabidopsis thaliana pre-mRNA by combining local and global sequence information
SM Hebsgaard, PG Korning, N Tolstrup, J Engelbrecht, P Rouzé, ...
Nucleic acids research 24 (17), 3439-3452, 1996
A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
H Nielsen, J Engelbrecht, S Brunak, GV Heijne
International journal of neural systems 8 (05n06), 581-599, 1997
Prediction of O-glycosylation of mammalian proteins: specificity patterns of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase
JE Hansen, O Lund, J Engelbrecht, H Bohr, JO Nielsen, JES Hansen, ...
Biochemical Journal 308 (3), 801-813, 1995
Defining a similarity threshold for a functional protein sequence pattern: the signal peptide cleavage site
H Nielsen, J Engelbrecht, G von Heijne, S Brunak
Proteins: Structure, Function, and Bioinformatics 24 (2), 165-177, 1996
Multiple alignment using simulated annealing: branch point definition in human mRNA splicing
AV Lukashin, J Engelbrecht, S Brunak
Nucleic acids research 20 (10), 2511-2516, 1992
Protein structure and the sequential structure of mRNA: α‐Helix and β‐sheet signals at the nucleotide level
S Brunak, J Engelbrecht
Proteins: Structure, Function, and Bioinformatics 25 (2), 237-252, 1996
Neural network detects errors in the assignment of mRNA splice sites
S Brunak, J Engelbrecht, S Knudsen
Nucleic acids research 18 (16), 4797-4801, 1990
G+ C-rich tract in 5′ end of human introns
J Engelbrecht, S Knudsen, S Brunak
Journal of molecular biology 227 (1), 108-113, 1992
Cleaning up gene databases
Nature 343 (6254), 123-123, 1990
Investigations of Escherichia coli promoter sequences with artificial neural networks: new signals discovered upstream of the transcriptional startpoint.
AG Pedersen, J Engelbrecht
Ismb, 292-299, 1995
Neural network model of the genetic code is strongly correlated to the GES scale of amino acid transfer free energies
N Tolstrup, J Toftgård, J Engelbrecht, S Brunak
Journal of Molecular Biology 243 (5), 816-820, 1994
Analysis of eukaryotic promoter sequences reveals a systematically occurring CT-signal
NI Larsen, J Engelbrecht, S Brunak
Nucleic acids research 23 (7), 1223-1230, 1995
Periodic sequence patterns in human exons.
P Baldi, S Brunak, Y Chauvin, J Engelbrecht, A Krogh
Ismb, 30-38, 1995
Mining of assembled expressed sequence tag (EST) data for protein families: Application to the G protein-coupled receptor superfamily
D Conklin, DP Yee, R Millar, J Engelbrecht, H Vissing
Briefings in bioinformatics 1 (1), 93-99, 2000
Hidden Markov Models for human genes
P Baldi, S Brunak, Y Chauvin, J Engelbrecht, A Krogh
Advances in Neural Information Processing Systems, 761-768, 1994
Correlation between protein secondary
S Brunak, J Engelbrecht, C Kesmir
Protein Structure by Distance Analysis, 327, 1994
Single Site Suppressors of a Fission Yeast Temperature-Sensitive Mutant in cdc48 Identified by Whole Genome Sequencing
RHP Irina N. Marinova, Jacob Engelbrecht, Adrian Ewald, Lasse L. Langholm ...
PLoS ONE 10 (2), e0117779, 2015
Time of emergence and dynamics of cooperative gene networks
S Rasmussen, E Mosekilde, J Engelbrecht
Structure, Coherence and Chaos in Dynamical Systems, Proceedings in …, 1989
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